Mann-Whitney U test for two samples without normality
Mann-Whitney U test for two samples without normality - U, z, p-value, medians, rank-biserial correlation and the probability one group exceeds the other
Answeringour last check, 2026-10-20
1 of 1checks answered this week
276 msmedian answer time
$0.01listed price per call
$0.01price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
GET https://saylorinnovations.com/api/stats/mann-whitney
| Category | Everything else |
|---|---|
| Provider host | saylorinnovations.com |
| Networks | eip155:137, eip155:42161, eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 0 from 0 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-20 | valid payment request | 402 | $0.01 | 276 ms |
Example input (from the provider)
{
"method": "GET",
"queryParams": {
"a": "1,2,3,4,5",
"b": "6,7,8,9,10"
},
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"properties": {
"a": {
"description": "First sample, 3-500 numbers",
"type": "string"
},
"b": {
"description": "Second sample, 3-500 numbers",
"type": "string"
}
},
"required": [
"a",
"b"
],
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"alpha": {
"description": "Significance level used",
"type": [
"number",
"null"
]
},
"median_a": {
"description": "Median a",
"type": "number"
},
"median_b": {
"description": "Median b",
"type": "number"
},
"n_a": {
"description": "Number of a",
"type": "number"
},
"n_b": {
"description": "Number of b",
"type": "number"
},
"note": {
"description": "Caveat or context for reading the result",
"type": "string"
},
"p_value": {
"description": "P value",
"type": "number"
},
"probability_a_greater_than_b": {
"description": "Probability a greater than b",
"type": "number"
},
"rank_biserial_correlation": {
"description": "Rank biserial correlation",
"type": "number"
},
"significant": {
"description": "True when the p-value is below alpha",
"type": "boolean"
},
"source": {
"description": "Data source the values come from",
"type": "string"
},
"ties_corrected": {
"description": "Ties corrected",
"type": [
"boolean",
"null"
]
},
"u": {
"description": "Smaller of the two U statistics",
"type": "number"
},
"u_a": {
"description": "U a",
"type": [
"number",
"null"
]
},
"u_b": {
"description": "U b",
"type": [
"number",
"null"
]
},
"z": {
"description": "Z score from the normal approximation with continuity correction",
"type": "number"
}
},
"required": [
"u",
"p_value"
],
"type": "object"
},
"type": {
"const": "json",
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}